The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-11-26"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "60973650 (up from 60392453 yesterday: 0.96 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1432047 (up from 1421308 yesterday: 0.76 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 12227029

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.35



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 12883264 110611 0.87 3209410 263454 1232 0.47 2.04
India 9309787 43082 0.46 898063 135715 492 0.36 1.46
Brazil 6204220 37614 0.61 614195 171460 691 0.40 2.76
France 2235537 13663 0.61 586548 51041 341 0.67 2.28
Russia 2169424 25195 1.18 469729 37688 515 1.39 1.74
Spain 1617355 12289 0.77 311039 44374 337 0.77 2.74
United Kingdom 1578429 17557 1.12 451960 57128 498 0.88 3.62
Italy 1509875 29001 1.96 684996 52850 822 1.58 3.50
Argentina 1399431 9043 0.65 182403 37941 227 0.60 2.71
Colombia 1280487 9496 0.75 162510 36019 159 0.44 2.81
Mexico 1078594 8107 0.76 129397 104242 645 0.62 9.66
Germany 1017830 21951 2.20 386658 15640 430 2.83 1.54
Peru 952439 0 0.00 37717 35685 0 0.00 3.75
Poland 941112 16690 1.81 474433 15568 580 3.87 1.65
Iran 908346 13961 1.56 253410 46689 482 1.04 5.14
South Africa 778571 3069 0.40 46157 21289 88 0.42 2.73
Ukraine 695755 15623 2.30 252125 12091 234 1.97 1.74
Belgium 567532 2565 0.45 88191 16219 142 0.88 2.86
Chile 545662 1570 0.29 29080 15235 97 0.64 2.79
Iraq 544670 2483 0.46 55099 12125 39 0.32 2.23
Indonesia 516753 4917 0.96 90957 16352 127 0.78 3.16
Czechia 511520 6305 1.25 119575 7779 168 2.21 1.52
Netherlands 511162 4605 0.91 114050 9260 75 0.82 1.81
Turkey 503738 36008 7.70 116918 13014 174 1.36 2.58
Bangladesh 456438 2292 0.50 40432 6524 37 0.57 1.43
Romania 449349 9005 2.04 172547 10712 171 1.62 2.38
Philippines 424297 1382 0.33 34572 8242 27 0.33 1.94
Pakistan 389311 3113 0.81 49060 7897 54 0.69 2.03
Canada 356650 5679 1.62 103168 11818 85 0.72 3.31
Saudi Arabia 356389 322 0.09 7003 5840 15 0.26 1.64
Morocco 340684 4178 1.24 99733 5619 80 1.44 1.65
Israel 333084 1169 0.35 15221 2834 8 0.28 0.85
Switzerland 313978 4509 1.46 111474 4509 116 2.64 1.44
Portugal 280394 6383 2.33 119044 4209 82 1.99 1.50
Austria 266038 5526 2.12 133523 2773 106 3.97 1.04
Sweden 236355 5841 2.53 94591 6622 67 1.02 2.80
Nepal 227640 1614 0.71 41666 1412 23 1.66 0.62
Jordan 203021 5000 2.52 107157 2509 67 2.74 1.24
Hungary 192047 6360 3.43 97131 4229 115 2.80 2.20
Ecuador 188138 908 0.48 16355 13316 28 0.21 7.08
United Arab Emirates 163967 1305 0.80 25368 564 1 0.18 0.34
Panama 160287 1755 1.11 23720 3018 16 0.53 1.88
Serbia 148214 7606 5.41 92538 1366 51 3.88 0.92
Bolivia 144390 114 0.08 2189 8939 6 0.07 6.19
Kuwait 141547 330 0.23 11909 872 1 0.11 0.62
Dominican Republic 140922 1526 1.09 12098 2317 2 0.09 1.64
Japan 140225 2490 1.81 35261 1996 13 0.66 1.42
Qatar 138066 215 0.16 4447 237 0 0.00 0.17
Bulgaria 136628 3568 2.68 68283 3529 162 4.81 2.58
Costa Rica 135742 1222 0.91 21375 1679 5 0.30 1.24
Armenia 130870 1785 1.38 31307 2068 28 1.37 1.58
Belarus 130012 1563 1.22 26717 1128 9 0.80 0.87
Kazakhstan 129213 813 0.63 14387 1990 0 0.00 1.54
Oman 122579 0 0.00 5412 1391 0 0.00 1.13
Lebanon 122200 1859 1.54 33014 974 24 2.53 0.80
Guatemala 120685 696 0.58 10836 4133 26 0.63 3.42
Georgia 118690 3801 3.31 69472 1124 39 3.59 0.95
Croatia 115626 4009 3.59 56211 1552 51 3.40 1.34
Egypt 114475 368 0.32 5945 6596 11 0.17 5.76
Ethiopia 107669 560 0.52 9278 1672 8 0.48 1.55
Honduras 106681 565 0.53 7334 2892 4 0.14 2.71
Azerbaijan 106101 3705 3.62 45228 1256 32 2.61 1.18
Moldova 102894 1691 1.67 23328 2229 20 0.91 2.17
Slovakia 101257 1953 1.97 32523 749 17 2.32 0.74
Venezuela 101215 398 0.39 7294 884 4 0.45 0.87

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Texas 1202804 6093 0.51 221616 21639 185 0.86 1.80 41481.89 746.28 1 in 24
California 1171802 10862 0.94 214948 19025 57 0.30 1.62 29656.70 481.50 1 in 34
Florida 961676 0 0.00 134296 18254 0 0.00 1.90 44775.48 849.90 1 in 22
Illinois 697489 12022 1.75 243751 12594 155 1.25 1.81 55042.52 993.86 1 in 18
New York 620199 6933 1.13 101387 34443 55 0.16 5.55 31881.00 1770.52 1 in 31
Georgia 461517 3608 0.79 61892 9336 39 0.42 2.02 43467.89 879.31 1 in 23
Wisconsin 398104 5666 1.44 134533 3415 72 2.15 0.86 68374.15 586.52 1 in 15
Ohio 382743 0 0.00 147573 6274 0 0.00 1.64 32743.58 536.74 1 in 31
Michigan 352433 0 0.00 134170 9170 0 0.00 2.60 35289.68 918.21 1 in 28
Tennessee 352376 4404 1.27 80605 4519 53 1.19 1.28 51568.42 661.33 1 in 19
North Carolina 346506 0 0.00 60845 5138 0 0.00 1.48 33038.06 489.89 1 in 30
Pennsylvania 340642 7177 2.15 114944 10172 102 1.01 2.99 26608.52 794.56 1 in 38
New Jersey 322378 4473 1.41 75159 16925 39 0.23 5.25 36294.88 1905.50 1 in 28
Indiana 318894 6373 2.04 122718 5561 63 1.15 1.74 47368.33 826.03 1 in 21
Arizona 314324 3474 1.12 61556 6568 44 0.67 2.09 41277.53 862.52 1 in 24
Missouri 293496 4494 1.56 93454 3835 33 0.87 1.31 47820.68 624.85 1 in 21
Minnesota 289303 0 0.00 124438 3434 0 0.00 1.19 51298.21 608.90 1 in 19
Alabama 241957 2639 1.10 41429 3572 40 1.13 1.48 49346.90 728.51 1 in 20
Virginia 228900 2600 1.15 41698 4029 21 0.52 1.76 26817.35 472.03 1 in 37
Louisiana 225638 0 0.00 39813 6350 0 0.00 2.81 48536.89 1365.95 1 in 21
Iowa 223323 2037 0.92 80832 2349 37 1.60 1.05 70782.26 744.52 1 in 14
Colorado 216683 6053 2.87 95677 2957 51 1.75 1.36 37626.83 513.48 1 in 27
Massachusetts 214594 0 0.00 49433 10604 0 0.00 4.94 30879.04 1525.86 1 in 32
South Carolina 210905 0 0.00 29266 4317 0 0.00 2.05 40962.66 838.46 1 in 24
Maryland 190480 2319 1.23 40516 4547 29 0.64 2.39 31506.79 752.11 1 in 32
Oklahoma 184342 0 0.00 54469 1680 0 0.00 0.91 46586.64 424.57 1 in 21
Utah 183902 0 0.00 59610 834 0 0.00 0.45 57362.57 260.14 1 in 17
Kentucky 166139 0 0.00 50862 1835 0 0.00 1.10 37186.92 410.73 1 in 27
Washington 153906 0 0.00 41356 2704 0 0.00 1.76 20211.18 355.09 1 in 49
Arkansas 152625 2348 1.56 35265 2436 11 0.45 1.60 50574.50 807.20 1 in 20
Kansas 150647 355 0.24 51881 1503 0 0.00 1.00 51709.84 515.91 1 in 19
Mississippi 147382 1746 1.20 23495 3763 18 0.48 2.55 49521.04 1264.39 1 in 20
Nevada 144781 2541 1.79 39421 2093 22 1.06 1.45 47004.44 679.51 1 in 21
Nebraska 122952 5270 4.48 44940 982 32 3.37 0.80 63560.53 507.65 1 in 16
Connecticut 109152 0 0.00 32092 4926 0 0.00 4.51 30615.21 1381.66 1 in 33
Idaho 96503 0 0.00 26924 895 0 0.00 0.93 53850.17 499.42 1 in 19
New Mexico 89796 1694 1.92 38686 1469 18 1.24 1.64 42824.67 700.58 1 in 23
North Dakota 76442 964 1.28 26605 903 10 1.12 1.18 100309.42 1184.94 1 in 10
South Dakota 76142 0 0.00 24991 849 0 0.00 1.12 86069.32 959.69 1 in 12
Oregon 68503 0 0.00 20664 867 0 0.00 1.27 16241.65 205.56 1 in 62
Montana 59682 1117 1.91 22714 658 6 0.92 1.10 55841.34 615.66 1 in 18
Rhode Island 52317 0 0.00 16567 1335 0 0.00 2.55 49385.43 1260.19 1 in 20
Puerto Rico 49226 501 1.03 -20190 1069 17 1.62 2.17 15413.50 334.72 1 in 65
West Virginia 44180 1130 2.62 17633 712 17 2.45 1.61 24720.97 398.40 1 in 40
Delaware 33579 584 1.77 7826 761 1 0.13 2.27 34483.71 781.50 1 in 29
Wyoming 30761 0 0.00 15352 215 0 0.00 0.70 53149.93 371.48 1 in 19
Alaska 30102 559 1.89 11928 119 3 2.59 0.40 41148.53 162.67 1 in 24
District of Columbia 20736 220 1.07 3054 677 0 0.00 3.26 29381.55 959.26 1 in 34
New Hampshire 18846 0 0.00 7038 514 0 0.00 2.73 13860.30 378.02 1 in 72
Hawaii 17881 117 0.66 2309 237 2 0.85 1.33 12628.97 167.39 1 in 79
Maine 11265 238 2.16 4005 190 0 0.00 1.69 8380.37 141.35 1 in 119
Vermont 3827 0 0.00 1524 64 0 0.00 1.67 6133.12 102.57 1 in 163

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 Texas 10386194 1202804 11.58 1902466 221616 11.65 358195.5
2 California 23096745 1171802 5.07 3830382 214948 5.61 584546.8
3 Florida 11949292 961676 8.05 1620295 134296 8.29 556357.1
4 Illinois 10212093 697489 6.83 2089106 243751 11.67 805889.9
5 New York 18743407 620199 3.31 3548231 101387 2.86 963494.9
6 Georgia 4226691 461517 10.92 554531 61892 11.16 398090.1
7 Wisconsin 4318215 398104 9.22 878185 134533 15.32 741651.2
8 Ohio 5856888 382743 6.53 1161082 147573 12.71 501055.5
9 Michigan 6392563 352433 5.51 1237681 134170 10.84 640097.6
10 Tennessee 4391717 352376 8.02 611585 80605 13.18 642705.3
11 North Carolina 5084569 346506 6.81 857627 60845 7.09 484794.8
12 Pennsylvania 3101483 340642 10.98 489581 114944 23.48 242265.7
13 New Jersey 5831812 322378 5.53 1013760 75159 7.41 656573.7
14 Indiana 4100250 318894 7.78 1026395 122718 11.96 609048.8
15 Arizona 2178685 314324 14.43 352056 61556 17.48 286108.4
16 Missouri 3009614 293496 9.75 384644 93454 24.30 490370.6
17 Minnesota 3873062 289303 7.47 925909 124438 13.44 686757.9
18 Alabama 1562942 241957 15.48 183835 41429 22.54 318760.6
19 Virginia 3236893 228900 7.07 517687 41698 8.05 379226.3
20 Louisiana 3310705 225638 6.82 463039 39813 8.60 712164.3
21 Iowa 1057718 223323 21.11 141314 80832 57.20 335243.9
22 Colorado 3046149 216683 7.11 937035 95677 10.21 528961.4
23 Massachusetts 8130694 214594 2.64 1669383 49433 2.96 1169967.7
24 South Carolina 2308163 210905 9.14 434878 29266 6.73 448298.9
25 Maryland 4288122 190480 4.44 735791 40516 5.51 709287.0
26 Oklahoma 2057810 184342 8.96 384253 54469 14.18 520046.8
27 Utah 1765766 183902 10.41 317917 59610 18.75 550776.4
28 Kentucky 2480097 166139 6.70 470780 50862 10.80 555120.5
29 Washington 2894367 153906 5.32 374873 41356 11.03 380092.9
30 Arkansas 1647144 152625 9.27 254239 35265 13.87 545805.0
31 Kansas 799185 150647 18.85 135505 51881 38.29 274321.6
32 Mississippi 1094654 147382 13.46 133559 23495 17.59 367808.9
33 Nevada 1592915 144781 9.09 293794 39421 13.42 517154.0
34 Nebraska 1313816 122952 9.36 326318 44940 13.77 679182.5
35 Connecticut 3083113 109152 3.54 649704 32092 4.94 864758.7
36 Idaho 464446 96503 20.78 68770 26924 39.15 259168.0
37 New Mexico 1504856 89796 5.97 286051 38686 13.52 717681.8
38 North Dakota 1058014 76442 7.23 184669 26605 14.41 1388356.9
39 South Dakota 318354 76142 23.92 49218 24991 50.78 359860.7
40 Oregon 1030663 68503 6.65 141636 20664 14.59 244364.0
41 Montana 631927 59682 9.44 111903 22714 20.30 591261.2
42 Rhode Island 1492195 52317 3.51 291444 16567 5.68 1408580.3
44 West Virginia 1085099 44180 4.07 268007 17633 6.58 607168.3
45 Delaware 705587 33579 4.76 131796 7826 5.94 724597.5
46 Wyoming 385040 30761 7.99 246827 15352 6.22 665285.6
47 Alaska 969573 30102 3.10 187747 11928 6.35 1325377.1
48 District of Columbia 663201 20736 3.13 122699 3054 2.49 939712.3
49 New Hampshire 785563 18846 2.40 140972 7038 4.99 577742.6
50 Hawaii 649900 17881 2.75 102567 2309 2.25 459010.4
51 Maine 841328 11265 1.34 173478 4005 2.31 625889.4
52 Vermont 533135 3827 0.72 108713 1524 1.40 854398.1

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1648665 0 0 1470660 89.20 134137 43348 0 0 2.63
Andhra Pradesh 808924 0 0 773548 95.63 28770 6606 0 0 0.82
Karnataka 805947 0 0 719558 89.28 75423 10947 0 0 1.36
Tamil Nadu 711713 0 0 671489 94.35 29268 10956 0 0 1.54
Uttar Pradesh 472068 0 0 438512 92.89 26654 6902 0 0 1.46
Kerala 397218 0 0 302017 76.03 93745 1353 0 0 0.34
Delhi 359488 0 0 327390 91.07 25786 6312 0 0 1.76
West Bengal 353822 0 0 310086 87.64 37190 6546 0 0 1.85
Odisha 282695 0 0 266105 94.13 15278 1312 0 0 0.46
Telangana 231834 0 0 211912 91.41 18611 1311 0 0 0.57
Bihar 212705 0 0 202007 94.97 9639 1058 0 0 0.50
Assam 204386 0 0 188584 92.27 14891 908 0 0 0.44
Rajasthan 188048 0 0 169962 90.38 16233 1853 0 0 0.99
Chhattisgarh 177608 0 0 153654 86.51 22093 1861 0 0 1.05
Gujarat 168081 0 0 150750 89.69 13638 3693 0 0 2.20
Madhya Pradesh 167969 0 0 154222 91.82 10857 2890 0 0 1.72
Haryana 159457 0 0 147566 92.54 10154 1737 0 0 1.09
Punjab 131391 0 0 123047 93.65 4219 4125 0 0 3.14
Jharkhand 99906 0 0 93368 93.46 5666 872 0 0 0.87
Jammu and Kashmir 92225 0 0 83485 90.52 7296 1444 0 0 1.57
Uttarakhand 60744 0 0 55188 90.85 4080 1001 0 0 1.65
Goa 42532 0 0 39433 92.71 2517 582 0 0 1.37
Puducherry 34336 0 0 29990 87.34 3758 588 0 0 1.71
Tripura 30254 0 0 28046 92.70 1845 340 0 0 1.12
Himachal Pradesh 20586 0 0 17760 86.27 2508 288 0 0 1.40
Manipur 17424 0 0 13057 74.94 4223 144 0 0 0.83
Arunachal Pradesh 14391 0 0 12182 84.65 2174 35 0 0 0.24
Chandigarh 14085 0 0 13230 93.93 633 222 0 0 1.58
Meghalaya 9020 0 0 7332 81.29 1604 81 0 0 0.90
Nagaland 8663 0 0 6720 77.57 1833 27 0 0 0.31
Ladakh 5978 0 0 5216 87.25 691 71 0 0 1.19
Andaman and Nicobar Islands 4253 0 0 3997 93.98 198 58 0 0 1.36
Sikkim 3840 0 0 3448 89.79 245 65 0 0 1.69
Dadra and Nagar Haveli and Daman and Diu 3226 0 0 3147 97.55 51 2 0 0 0.06
Mizoram 2493 0 0 2209 88.61 284 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 3172359 242947 9934 4.26 7.66 5563 570 117366 18118 7.46
Piemonte 1117280 89458 4878 5.77 8.01 3871 268 47916 4549 5.09
Campania 1075201 78009 4508 6.13 7.26 1677 180 62196 796 1.02
Veneto 2417660 72092 3297 4.79 2.98 1184 169 43937 2543 3.53
Emilia-Romagna 1695309 67041 1953 3.00 3.95 1673 177 33730 4752 7.09
Lazio 1591303 60707 2699 4.65 3.81 2511 234 46684 1370 2.26
Toscana 1180350 57680 2592 4.71 4.89 1303 209 39440 1502 2.60
Liguria 475685 34452 1127 3.38 7.24 1315 78 11692 1879 5.45
Sicilia 737769 28825 1423 5.19 3.91 1157 159 19513 628 2.18
Puglia 594560 23881 946 4.12 4.02 787 122 15629 802 3.36
Marche 338947 17656 697 4.11 5.21 444 60 9240 1037 5.87
Umbria 320893 13591 767 5.98 4.24 326 53 8885 174 1.28
Abruzzo 308505 13505 395 3.01 4.38 468 42 8581 584 4.32
Friuli Venezia Giulia 567637 13352 542 4.23 2.35 260 44 6755 435 3.26
P.A. Bolzano 249844 11572 713 6.57 4.63 356 35 7046 330 2.85
Sardegna 286076 11412 359 3.25 3.99 392 46 7686 249 2.18
P.A. Trento 304662 10453 261 2.56 3.43 226 17 2433 459 4.39
Calabria 292222 6714 264 4.09 2.30 212 15 4481 132 1.97
Valle d’Aosta 44359 3963 129 3.36 8.93 154 13 2168 195 4.92
Basilicata 112980 3172 249 8.52 2.81 100 16 2335 59 1.86
Molise 68295 2199 76 3.58 3.22 26 8 1405 45 2.05

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 136894 1464 1.08 6947 32 0.46 5.07 16034.11 813.69 1 in 62
Ontario 112898 1522 1.37 3593 17 0.48 3.18 7673.96 244.23 1 in 130
Alberta 51878 1077 2.12 510 10 2.00 0.98 11755.33 115.56 1 in 85
British Columbia 29973 887 3.05 384 13 3.50 1.28 5864.51 75.13 1 in 171
Manitoba 15288 381 2.56 266 10 3.91 1.74 11098.23 193.10 1 in 90
Saskatchewan 7362 315 4.47 40 3 8.11 0.54 6230.19 33.85 1 in 161
Nova Scotia 1257 14 1.13 65 0 0.00 5.17 1285.99 66.50 1 in 778
New Brunswick 465 12 2.65 7 0 0.00 1.51 596.16 8.97 1 in 1677
Newfoundland and Labrador 327 3 0.93 4 0 0.00 1.22 627.20 7.67 1 in 1594
Nunavut 155 0 0.00 0 0 NaN 0.00 NA NA 1 in NA
Prince Edward Island 70 1 1.45 0 0 NaN 0.00 442.60 0.00 1 in 2259
Yukon 42 3 7.69 1 0 0.00 2.38 1022.45 24.34 1 in 978
Northwest Territories 15 0 0.00 0 0 NaN 0.00 334.05 0.00 1 in 2994
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 39374.28 805.18 1 in 25
India 6952.79 101.36 1 in 144
Brazil 29642.71 819.21 1 in 34
France 33371.20 761.92 1 in 30
Russia 15013.31 260.82 1 in 67
Spain 34662.56 951.01 1 in 29
United Kingdom 23757.21 859.84 1 in 42
Italy 24964.86 873.84 1 in 40
Argentina 31611.27 857.04 1 in 32
Colombia 26095.11 734.03 1 in 38
Mexico 8348.25 806.83 1 in 120
Germany 12294.12 188.91 1 in 81
Peru 29606.43 1109.26 1 in 34
Poland 24779.15 409.90 1 in 40
Iran 11192.04 575.27 1 in 89
South Africa 13726.57 375.33 1 in 73
Ukraine NA NA 1 in NA
Belgium 49783.51 1422.72 1 in 20
Chile 30230.58 844.04 1 in 33
Iraq 14232.30 316.83 1 in 70

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 383275 7580 1.98
Cook Illinois 296129 6450 2.18
Miami-Dade Florida 220414 3792 1.72
Maricopa Arizona 198822 3955 1.99
Harris Texas 187759 2992 1.59
Dallas Texas 133811 1544 1.15
Clark Nevada 111485 1735 1.56
Broward Florida 103440 1638 1.58
Tarrant Texas 95989 1014 1.06
San Bernardino California 88469 1129 1.28
Queens New York 87818 7349 8.37
Kings New York 86628 7495 8.65
Riverside California 85077 1434 1.69
El Paso Texas 83993 1048 1.25
Bexar Texas 76750 1489 1.94
Salt Lake Utah 76220 389 0.51
San Diego California 75307 988 1.31
Orange California 73152 1559 2.13
Milwaukee Wisconsin 70179 740 1.05
Philadelphia Pennsylvania 63862 1968 3.08
Palm Beach Florida 63146 1670 2.64
Bronx New York 62378 5027 8.06
Hennepin Minnesota 61651 1100 1.78
Wayne Michigan 59905 3189 5.32
Nassau New York 58567 2248 3.84
Suffolk New York 58562 2045 3.49
Hillsborough Florida 56497 904 1.60
Orange Florida 55966 635 1.13
Franklin Ohio 51161 671 1.31
St. Louis Missouri 49567 976 1.97
Westchester New York 48441 1510 3.12
Shelby Tennessee 46549 658 1.41
Utah Utah 46150 127 0.28
New York New York 43747 3224 7.37
Middlesex Massachusetts 43538 2401 5.51
DuPage Illinois 43513 770 1.77
Marion Indiana 43391 855 1.97
Oakland Michigan 42850 1332 3.11
Hidalgo Texas 42232 2048 4.85
Duval Florida 41937 579 1.38
Mecklenburg North Carolina 41762 437 1.05
Davidson Tennessee 41460 419 1.01
King Washington 41414 866 2.09
Prince George’s Maryland 40095 921 2.30
Kern California 39990 448 1.12
Fulton Georgia 39942 690 1.73
Gwinnett Georgia 38986 518 1.33
Douglas Nebraska 38831 296 0.76
Pima Arizona 37977 682 1.80
Oklahoma Oklahoma 37441 285 0.76
Will Illinois 37368 553 1.48
Fresno California 37349 477 1.28
Travis Texas 37238 483 1.30
Cuyahoga Ohio 37222 743 2.00
Fairfield Connecticut 36037 1488 4.13
Lake Illinois 36001 623 1.73
Providence Rhode Island 35980 1028 2.86
Sacramento California 35739 566 1.58
Suffolk Massachusetts 35687 1231 3.45
Denver Colorado 35075 521 1.49
Jefferson Kentucky 34687 441 1.27
Essex New Jersey 34155 2224 6.51
Macomb Michigan 33969 1236 3.64
Bergen New Jersey 33328 2119 6.36
Polk Iowa 33019 331 1.00
Essex Massachusetts 32897 1436 4.37
Santa Clara California 32454 476 1.47
Montgomery Maryland 32259 939 2.91
Jefferson Alabama 31809 500 1.57
Pinellas Florida 31795 884 2.78
Tulsa Oklahoma 31333 260 0.83
Kane Illinois 30756 459 1.49
Lubbock Texas 30592 337 1.10
Kent Michigan 30506 312 1.02
Hamilton Ohio 30493 372 1.22
Hudson New Jersey 30410 1572 5.17
Fairfax Virginia 29936 622 2.08
Cobb Georgia 29421 505 1.72
Middlesex New Jersey 29267 1485 5.07
Passaic New Jersey 28894 1308 4.53
Lee Florida 28881 577 2.00
Alameda California 28378 502 1.77
Baltimore Maryland 28146 722 2.57
Adams Colorado 27838 329 1.18
Lake Indiana 27599 462 1.67
Waukesha Wisconsin 27462 202 0.74
Union New Jersey 27457 1431 5.21
Wake North Carolina 27201 286 1.05
Dane Wisconsin 27120 83 0.31
DeKalb Georgia 27104 454 1.68
New Haven Connecticut 27092 1222 4.51
Hartford Connecticut 27061 1587 5.86
Polk Florida 26833 671 2.50
Sedgwick Kansas 26095 149 0.57
Allegheny Pennsylvania 25952 498 1.92
Johnson Kansas 25931 285 1.10
Ramsey Minnesota 25903 487 1.88
Cameron Texas 25855 1108 4.29
San Joaquin California 25675 502 1.96
Arapahoe Colorado 25535 434 1.70

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc